{"id":"W2011686760","doi":"10.1016/s0965-9978(03)00040-1","title":"Computer aided stability analysis of gravity dams—CADAM","year":2003,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Gravity dam; Stability (learning theory); Structural engineering; Monte Carlo method; Probabilistic logic; Engineering; Beam (structure); Cracking; Geotechnical engineering; Computer science; Finite element method; Mathematics; Materials science; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004306965,0.0004263627,0.0005867701,0.0008098937,0.0004930092,0.0006186374,0.0008081148,0.000716314,0.006506606],"category_scores_gemma":[0.001215201,0.0003753334,0.0004484477,0.0005440828,0.0003530547,0.0004504392,0.0007047403,0.0004634879,0.000873267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005170075,"about_ca_system_score_gemma":0.001028853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00920065,"about_ca_topic_score_gemma":0.0118911,"domain_scores_codex":[0.9998498,0.00004079339,0.000007699813,0.00002031279,0.00006262588,0.00001880424],"domain_scores_gemma":[0.9995453,0.0001555104,0.00003304336,0.00008655358,0.0001660982,0.00001355188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001328613,0.00005864565,0.001857044,0.00007733626,0.00002996407,0.0001283908,0.0001047584,0.8871993,0.01124542,0.009639364,0.00284651,0.08668041],"study_design_scores_gemma":[0.000008808814,0.00001568953,0.0004443877,0.000004903255,0.000003123014,0.00001859901,0.00001313904,0.995568,0.00212539,0.0007568811,0.001036563,0.000004599075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.257196,0.0003194397,0.7207792,0.0002195831,0.00009005538,0.000082961,0.0008337778,0.005686808,0.01479209],"genre_scores_gemma":[0.8636783,0.0001583036,0.1301747,0.00004170536,0.00001975768,0.00007318374,0.0005987689,0.0003353052,0.004919949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00920065,"threshold_uncertainty_score":0.02176672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005063869016109286,"score_gpt":0.2163905389367183,"score_spread":0.211326669920609,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}